iQIYI (IQ) Exchange Rate Effect (2017 - 2026)
iQIYI (IQ) reported Exchange Rate Effect of -$1.23 million for the quarter ended Jun 30, 2026, compared with -$3.85 million a year earlier.
iQIYI (IQ) Exchange Rate Effect (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, iQIYI's Exchange Rate Effect came in at -$9.95 million; for the year ended Dec 31, 2025, it came in at -$7.92 million.
- By year, Exchange Rate Effect came in at $2.01 million in the year ended Dec 31, 2024 (-84.5%), $12.96 million in the year ended Dec 31, 2023 (-27.0%), $17.75 million in the year ended Dec 31, 2022 and -$34.01 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Exchange Rate Effect since the quarter ended Mar 31, 2025.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$5.04 million (quarter ended Mar 31, 2026), -$1.44 million (quarter ended Dec 31, 2025) and -$2.25 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | -31.00 Mn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | -7.00 Mn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | -19.63 Mn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -224.00 Mn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | -4.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 54.00 Mn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | -111.00 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 182.40 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | -1.55 Mn |
| 10 | iQIYI | 993.86 Mn | -1.37 Bn | 152.37 Mn | -1.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.23 Mn |
| Mar 31, 2026 | -5.04 Mn |
| Dec 31, 2025 | -1.44 Mn |
| Sep 30, 2025 | -2.25 Mn |
| Jun 30, 2025 | -3.85 Mn |
| Mar 31, 2025 | -169,481.42 |
| Dec 31, 2024 | 8.46 Mn |
| Sep 30, 2024 | -11.69 Mn |
| Jun 30, 2024 | 3.19 Mn |
| Mar 31, 2024 | 2.04 Mn |
| Dec 31, 2023 | -4.37 Mn |
| Sep 30, 2023 | 634,147.23 |
| Jun 30, 2023 | 18.24 Mn |
| Mar 31, 2023 | -1.30 Mn |
| Dec 31, 2022 | -1.21 Mn |
| Sep 30, 2022 | 8.80 Mn |
| Jun 30, 2022 | 11.39 Mn |
| Mar 31, 2022 | -674,988.57 |
| Dec 31, 2021 | -11.54 Mn |
| Sep 30, 2021 | -3.43 Mn |
iQIYI Exchange Rate Effect API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=exchange-rate-effect&ticker=IQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "IQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=exchange-rate-effect&ticker=IQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();